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我正在尝试合并两个 json 文件，但我正在尝试将时间戳从 file2 附加到 file1.please 指南中的相应帧号。

JSON_FILE1

{"frameNumber":1,"classifications":[],"objects":[{"featureId":"ckotybs4v00033b68edh8a6o5","schemaId":"ckoto8fzm16gj0y7uesrd0nzt","title":"Person 1","value":"person_1","color":"#1CE6FF","keyframe":true,"bbox":{"top":157,"left":581,"height":390,"width":297},"classifications":[]}]}
{"frameNumber":2,"classifications":[],"objects":[{"featureId":"ckotybs4v00033b68edh8a6o5","schemaId":"ckoto8fzm16gj0y7uesrd0nzt","title":"Person 1","value":"person_1","color":"#1CE6FF","keyframe":false,"bbox":{"top":157,"left":581,"height":390.36,"width":297.16},"classifications":[]}]}
{"frameNumber":3,"classifications":[],"objects":[{"featureId":"ckotybs4v00033b68edh8a6o5","schemaId":"ckoto8fzm16gj0y7uesrd0nzt","title":"Person 1","value":"person_1","color":"#1CE6FF","keyframe":false,"bbox":{"top":157,"left":581,"height":390.72,"width":297.32},"classifications":[]}]}
{"frameNumber":4,"classifications":[],"objects":[{"featureId":"ckotybs4v00033b68edh8a6o5","schemaId":"ckoto8fzm16gj0y7uesrd0nzt","title":"Person 1","value":"person_1","color":"#1CE6FF","keyframe":false,"bbox":{"top":157,"left":581,"height":391.08,"width":297.48},"classifications":[]}]}
{"frameNumber":5,"classifications":[],"objects":[{"featureId":"ckotybs4v00033b68edh8a6o5","schemaId":"ckoto8fzm16gj0y7uesrd0nzt","title":"Person 1","value":"person_1","color":"#1CE6FF","keyframe":false,"bbox":{"top":157,"left":581,"height":391.44,"width":297.64},"classifications":[]}]}

JSON_FILE2

{
    "frame1": "0:0:0:66",
    "frame2": "0:0:0:100",
    "frame3": "0:0:0:133",
    "frame4": "0:0:0:166",
    "frame5": "0:0:0:200"
}

预期输出：

{"frameNumber":1,"frame1": "0:0:0:66",,"classifications":[],"objects":[{"featureId":"ckotybs4v00033b68edh8a6o5","schemaId":"ckoto8fzm16gj0y7uesrd0nzt","title":"Person 1","value":"person_1","color":"#1CE6FF","keyframe":true,"bbox":{"top":157,"left":581,"height":390,"width":297},"classifications":[]}]}
{"frameNumber":2, "frame2": "0:0:0:10,"classifications":[],"objects":[{"featureId":"ckotybs4v00033b68edh8a6o5","schemaId":"ckoto8fzm16gj0y7uesrd0nzt","title":"Person 1","value":"person_1","color":"#1CE6FF","keyframe":false,"bbox":{"top":157,"left":581,"height":390.36,"width":297.16},"classifications":[]}]}
{"frameNumber":3,"frame3": "0:0:0:133,"classifications":[],"objects":[{"featureId":"ckotybs4v00033b68edh8a6o5","schemaId":"ckoto8fzm16gj0y7uesrd0nzt","title":"Person 1","value":"person_1","color":"#1CE6FF","keyframe":false,"bbox":{"top":157,"left":581,"height":390.72,"width":297.32},"classifications":[]}]}
{"frameNumber":4,"frame4": "0:0:0:166","classifications":[],"objects":[{"featureId":"ckotybs4v00033b68edh8a6o5","schemaId":"ckoto8fzm16gj0y7uesrd0nzt","title":"Person 1","value":"person_1","color":"#1CE6FF","keyframe":false,"bbox":{"top":157,"left":581,"height":391.08,"width":297.48},"classifications":[]}]}
{"frameNumber":5,"frame5": "0:0:0:200","classifications":[],"objects":[{"featureId":"ckotybs4v00033b68edh8a6o5","schemaId":"ckoto8fzm16gj0y7uesrd0nzt","title":"Person 1","value":"person_1","color":"#1CE6FF","keyframe":false,"bbox":{"top":157,"left":581,"height":391.44,"width":297.64},"classification

我尝试过这种方式，但我无法实现。

import json
import glob

result = []
for f in glob.glob("*.json"):
    with open(f,"rb") as infile:
        result.append(json.load(infile))

with open("merged_file.json","wb") as outfile:
    json.dump(result,outfile)
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2 回答 2

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一个正确的 .json 需要一对[]并且比你能json.load做到的，遍历每一行并像下面一样做同样的事情，但无论如何：最简单的解决方案是打开 a 中的每一行dict，如果帧号匹配添加时间戳并将其写回。

    def fuse(file1, file2, nTargetPath):
        with open(nTargetPath, "wb") as tTargetFile:
            with open(file1, "rb") as tSourceFileA:
                for tLineA in tSourceFileA.readlines():
                    tDictA = json.loads(tLineA) #loads dict from a string
                    tKey = "frame"+tDictA["frameNumber"] #searching the correct entry but why not name this timestampX
                    with open(file2, "rb") as tSourceFileB:
                        for tLineB in tSourceFileB.readlines():
                            tDictB = json.loads(tLineB )
                            if tKey in tDictB:
                                tDictA[tKey] = tDictB[tKey]
                                break #cause there is only one timestamp
                    tTargetFile.write(json.dumps(tDictA)+'\n')

可以通过改进文件访问来轻松更新此代码，例如当您知道 file2 中时间戳的键每次都与 file1 在同一行中时，依此类推。

于 2021-07-18T11:09:33.870 回答
0

正如所指出的，一个文件是ndjson，另一个文件是json. 您需要实现一些逻辑来添加json到ndjson

# https://pypi.org/project/ndjson/
# pip install ndjson
import ndjson
import json


with open('path/to/file/im_a_ndjson.ndjson') as infile:
    ndjson_object = ndjson.load(infile)


with open('path/to/file/json_file2.json') as infile:
    dict_object = json.load(infile)


print(type(ndjson_object[0]['frameNumber']))
# output: <class 'int'>


for key in dict_object:
    # int needed as you can see above
    framenumber = int(key.strip('frame'))
    # find the matching ndjson object
    for ndjs in ndjson_object:
        if ndjs['frameNumber'] == framenumber:
            # add the key/value pair
            ndjs[key] = dict_object[key]
            # we can break as we've found it
            break


with open('path/to/file/new_ndjson.ndjson', 'w') as outfile:
    ndjson.dump(ndjson_object, outfile)
于 2021-07-18T11:12:29.667 回答